This repository provides the code and resources for building a GPT-like Large Language Model (LLM) from scratch using PyTorch. It is targeted at developers and researchers seeking a deep, hands-on understanding of LLM architecture and training, mirroring the methodologies used in large-scale foundational models.

How It Works

The project guides users through the step-by-step process of creating a functional LLM, explaining each stage with clear text, diagrams, and code examples. It focuses on demystifying the internal workings of LLMs, enabling users to replicate the training and development approach of models like ChatGPT.

Quick Start & Requirements

• Install: pip install -r requirements.txt
• Prerequisites: Python 3.x, PyTorch.
• Resources: The project is associated with a book, "Build a Large Language Model (from Scratch)," which offers comprehensive explanations and examples. Further details and resources can be found at the book's repository: https://github.com/rasbt/LLMs-from-scratch/

Highlighted Details

• Comprehensive, step-by-step guide to LLM construction.
• Uses Python and PyTorch for all coding examples.
• Explains concepts with clear text, diagrams, and code.
• Mirrors the approach used in large-scale foundational models.

Maintenance & Community

This repository is associated with the work of Sebastian Raschka, a notable figure in the machine learning community. Further community interaction or updates would likely be tied to the book's ecosystem.

Licensing & Compatibility

The repository itself does not explicitly state a license. However, it is associated with a book published by Manning Publications, which may have its own licensing terms for the content. Users should verify licensing for commercial or closed-source use.

Limitations & Caveats

The project is designed for educational purposes and focuses on building a "small-but-functional" model. It may not represent a production-ready, state-of-the-art LLM out-of-the-box.